Dr. Maryam Ramezanzadehmoghadam

Dr. Ramezanzadehmoghadam(Taeb)’s research interests lie at the intersection of large language models (LLMs), Vision Language Models, and their application within cybersecurity, Web3, and blockchain technologies. Her work explores the development and assessment of generative AI systems, with a particular focus on the ethical implications and fairness in machine learning, especially in relation to racial and gender biases. Dr. Ramezanzadehmoghadam(Taeb) investigates innovative approaches to deepfake detection and the secure acquisition of digital evidence, leveraging blockchain's decentralized architecture. Additionally, her research on AI-driven tools like "Assessing the Effectiveness and Security Implications of AI Code Generators" delves into the security risks posed by AI-generated code, further contributing to the field of cybersecurity. Dr. Ramezanzadehmoghadam(Taeb)’s work also addresses the societal impacts of AI, as demonstrated in her studies on anti-vaccination sentiment analysis and the inherent biases in models like BERT and ELECTRA. By integrating her expertise in human-computer interaction, Dr. Ramezanzadehmoghadam(Taeb) is committed to advancing the responsible development of AI technologies that are not only innovative but also equitable and secure.